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RS

Rishabh Shah.

Software Engineer & ML Researcher. I build scalable backend systems, ML pipelines, and research-grade computer vision.

Explore the workResume

Latest

csegraph

10

Published

3 papers

IEEE

Focus

Backend · Computer Vision · MLOps

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01 · Selected Work

Projects

Research-grade systems and production platforms. Click any card for the full case study.

Featured · IEEE· MLOps· Systems

Traffic Violation Detection & Automated Ticketing

YOLO-based vision system for five-rule enforcement with OCR/ANPR and automated challan workflows.

Problem

Automate traffic violation detection and evidence-backed ticketing at scale by detecting multiple violation types from live video feeds and delivering verifiable digital challans.

93.76%

End-to-End Accuracy

97.56%

Vehicle Detection

92.7%

OCR Accuracy

98%

Localization

5

Violation Types

−90%

Manual Overhead

RoleLed the full computer vision pipeline: YOLOv12x model development, license plate OCR via Groq Llama-4, challan metadata automation, and end-to-end cloud storage + SMS notification.

PythonPythonYOLOYOLOv12xOpenCVOpenCVGroq Llama-4OCRDjangoDjangoTwilioAWS S3
SourcePaper

02 · Published Research

Publications

3 peer-reviewed papers across computer vision, generative modeling, and IoT systems. Click any paper to read the full abstract.

Featured paper· 1st International Conference on Next-Generation AI & ML

Bridging Financial Data Gaps with WGAN-GP: Generating Synthetic Time Series for Robust Models

August 2025·Rishabh Shah, Fayed Hakim, Armaan Attar, Harsh Samant, Nilesh Patil, Chinmay Raut

We propose a methodology to synthesize financial time series data using a Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP), demonstrating the ability to recreate real-world data and augment available datasets. The framework enhances predictive model capabilities by 0.9% in accuracy, leading to more reliable forecasting and improved event classification, including identification of rare events such as recessions or pandemics.

03 · Experience

Where I've worked

Recent internships, shipped features, and measurable impact.

Software Engineering Intern

–

Aaditya Technologies · Mumbai, India

Stack

PythonPythonNext.jsNext.jsMySQLMySQLDockerDockerAWSJSON Web TokensJWTGitHub ActionsGitHub Actions
  • ▸With 400ms+ queries degrading user-facing response times, restructured MySQL schemas and rewrote critical SQL paths in Python and Next.js, reducing average API latency traced via structured application logs.
  • ▸Replaced ad-hoc inter-module calls lacking auth validation by implementing JWT-authenticated REST APIs with role-based access control across backend services, standardizing error handling and security.
  • ▸Containerized all services using Docker and built Git/GitHub managed deployment workflows on AWS, cutting deployments from manual multi-step configuration to repeatable single-command runs.
  • ▸Owned end-to-end releases independently in the final quarter, coordinating with frontend and QA teams across backend APIs, web application, and dashboard modules for integration testing.

Web Development Intern

–

Creative Line · Mumbai, India

Stack

Next.jsNext.jsMySQLMySQLTypeScriptTypeScriptREST APIs
  • ▸Refactored tightly coupled components across features to eliminate duplication, reducing per-file size and enabling faster iteration on new feature work.
  • ▸Resolved frequent timeout and null-response issues developing Next.js API routes with MySQL integration, caching, and error handling, backed through unit tests.

04 · Skills & Stack

Tooling I reach for

33 technologies across 4 disciplines. Each row drifts continuously. Hover to freeze, hover a tile for its brand glow.

01

Languages

7 tools

PythonPythonC++C++JavaTypeScriptTypeScriptJavaScriptJavaScriptSQLCCPythonPythonC++C++JavaTypeScriptTypeScriptJavaScriptJavaScriptSQLCC
02

Frameworks & Tools

9 tools

DjangoDjangoFlaskFlaskNext.jsNext.jsNode.jsNode.jsReactReactDockerDockerGitGitGitHub ActionsGitHub ActionsLinuxLinuxDjangoDjangoFlaskFlaskNext.jsNext.jsNode.jsNode.jsReactReactDockerDockerGitGitGitHub ActionsGitHub ActionsLinuxLinux
03

Databases & Cloud

6 tools

PostgreSQLPostgreSQLMySQLMySQLMongoDBMongoDBAWSAzureGoogle CloudGCPPostgreSQLPostgreSQLMySQLMySQLMongoDBMongoDBAWSAzureGoogle CloudGCPPostgreSQLPostgreSQLMySQLMySQLMongoDBMongoDBAWSAzureGoogle CloudGCP
04

AI / ML & Computer Vision

11 tools

PyTorchPyTorchTensorFlowTensorFlowscikit-learnScikit-learnKerasKeraspandasPandasNumPyNumPyOpenCVOpenCVYOLOYOLOOCRANPRLibrosaPyTorchPyTorchTensorFlowTensorFlowscikit-learnScikit-learnKerasKeraspandasPandasNumPyNumPyOpenCVOpenCVYOLOYOLOOCRANPRLibrosa

06 · Education

Academic history

Rutgers University

–

M.S. Computer Science (Software and Systems)

New Brunswick, NJ

GPA 3.83 / 4.0

Dwarkadas J. Sanghvi College of Engineering

–

B.Tech. Artificial Intelligence & Data Science

Mumbai, India

GPA 7.76 / 10.0

05 · About

A longer read

“Building at the intersection of engineering and intelligence.”

CS student at Rutgers University. I build scalable backend systems, ML pipelines, and research-grade computer vision, and publish what I find.

My work spans backend services (Django, Flask, Node), ML research (generative models, computer vision, audio), and MLOps pipelines that take experiments to reliable production systems. Three peer-reviewed papers so far, covering synthetic financial data, intelligent traffic surveillance, and IoT voice assistants.

07 · Contact

Get in touch

Open to SWE, systems, and ML/AI opportunities. Feel free to reach out.

I'm currently looking for full-time roles and internships in software engineering, systems, and AI/ML. Whether it's a project collaboration, job opportunity, or just to say hi, my inbox is open.

rish.shah@rutgers.edu
New Brunswick, NJ
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